Master CountVectorizer in Python with Sklearn for NLP 📊
Learn how to implement Count Vectors in Python using Sklearn for natural language processing. Step-by-step code tutorial and theory explained!
Sankham MarTech Channel
893 views • Dec 30, 2021
About this video
The implementation of Count Vectors using python code and Sklearn library is explained in this video.
Count Vectors Theory:
https://www.youtube.com/watch?v=pXHdRebDCqE&list=PL5l69Ui6w3V9ID055CCfricCumwPJyEGl&index=4&t=3s
Related Playlist:
https://www.youtube.com/playlist?list=PL5l69Ui6w3V9ID055CCfricCumwPJyEGl
00:00 - Introduction
00:54 - Python ML Echo System
02:43 - Two ways of Learning ML
05:00 - Recap on Count Vectors
05:58 - Explore scikit-learn documentation
08:29 - Import Statement Explained
09:28 - Object Instantiation
16:05 - What is CSR Matrix
Count Vectors Theory:
https://www.youtube.com/watch?v=pXHdRebDCqE&list=PL5l69Ui6w3V9ID055CCfricCumwPJyEGl&index=4&t=3s
Related Playlist:
https://www.youtube.com/playlist?list=PL5l69Ui6w3V9ID055CCfricCumwPJyEGl
00:00 - Introduction
00:54 - Python ML Echo System
02:43 - Two ways of Learning ML
05:00 - Recap on Count Vectors
05:58 - Explore scikit-learn documentation
08:29 - Import Statement Explained
09:28 - Object Instantiation
16:05 - What is CSR Matrix
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Video Information
Views
893
Likes
8
Duration
21:35
Published
Dec 30, 2021
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